Dealing with LIDAR data in the context of database management systems calls for a re-assessment of their functionality, performance, and storage/processing limitations. The territory for efficient and scalable processing of LIDAR repositories using GIS enabled database systems is still largely unexplored. Bringing together hard core database management experts and GIS application developers is a sine qua non to advance the state of the art. In particular to assess the relative merits of both traditional row-based database engines and the modern column-oriented database engines.
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P. Baumann (Peter)
Commit: Time Trails (P019)
Free and Open Source Software for Geospatial in Europe
Database Architectures

Kersten, M., Ivanova, M., Pereira Goncalves, R. A., & Martinez-Rubi, O. (2014). A column-store meets the point clouds. In P. Baumann (Ed.), .